On: GraphCast: AI model for weather forecasting

[carabiner]

> GraphCast makes forecasts at the high resolution of 0.25 degrees longitude/latitude (28km x 28km at the equator).

Any way to run this at even higher resolution, like 1 km? Could this resolve terrain forced effects like lenticular clouds on mountain tops?

[dist-epoch → carabiner]

One big problem is input weather data. It's resolution is poor.

[carabiner → dist-epoch]

Yeah, not to mention trying to validate results. Unless we grid install weather stations every 200 m on a mountain top...